Papers/2609.26822
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HARN: Hierarchical Associative Resonance Network for Event-Driven Multi-Timeframe Forecasting

Not provided in the abstract

multi-timeframe forecastingassociative memoryfinancial time seriesevent-driven
2609.26822
Builder Relevance
70%
2h ago

Abstract

HARN introduces a framework for multi-timeframe forecasting that maintains persistent representations and updates only when new data is available.

Reality Card

Core Claim

HARN achieves competitive forecasting errors against existing baselines while maintaining persistent representations across multiple temporal resolutions.

Method / Result

HARN shows competitive reconstructed-price forecasting errors compared to single-timeframe PatchTST and TimeXer baselines.

Limitations

The paper does not specify the authors, which may limit reproducibility and transparency.

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